Chromatophony
A Potential Application of Living Images in the Pixel Era
Bibliographic Data
| ID | 3981333 |
|---|---|
| Authors | Juppo Yokokawa (Juppo Yokokawa, Art Media Center, Tokyo University of the Arts, 12-8 Ueno Park, Taito-ku, Tokyo, Japan. Email: [email protected]., corresponding author), Nobuhiro Masuda (0000-0002-3606-3631, Nobuhiro Masuda, Faculty of Design, Kyushu University, 4-9-1 Shiobaru Minami-ku, Fukuoka, Japan. Email: [email protected]., corresponding author), Kazuhiro Jo (0000-0003-1626-3211, Kazuhiro Jo, Faculty of Design, Kyushu University/YCAM, Kyushu University, 4-9-1 Shiobaru Minami-ku, Fukuoka, Japan. Email: [email protected]., corresponding author) |
| Year | 2022 |
| Volume | 55 |
| Issue | 3 |
| Pages | 252-257 |
| Publication date | 2022-05-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Leonardo (JOURNAL) |
| Journal identifiers | ISSN: 0024-094X • E-ISSN: 1530-9282 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/leon_a_02107 |
| OpenAlex | W4200260644 |
| Language | EN |
| Citations received | 1 |
| References cited | 8 |
Squids can rapidly change their body color using chromatophores that are controlled by electrical signals transmitted through nerves. The authors transform a squid's skin into an audio visualizer called Chromatophony. This is accomplished by sending an electric tone signal composed as music to the skin. Although Chromatophony's appearance is similar to that of computer-generated images, it is based on a natural phenomenon with a colorful mosaic display. By comparing chromatophores with pixels, the authors propose Living Images to expand the potential of visual expression from the perspective of bioart theory
Biology · Chromatophore · Computer graphics (images) · Computer vision · Perspective (graphical) · Pixel · SIGNAL (programming language) · Squid · Artificial Intelligence · Cephalopods and Marine Biology · Computer Science · Ecology · Plant and Biological Electrophysiology Studies · Slime Mold and Myxomycetes Research
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |